Resultados de búsqueda - coding ((Algorithmssics OR Algorithmssics) OR (algorithm OR (algorithm OR algorithm)))

Self-Satisfied: An end-to-end framework for SAT generation and prediction por Serrano, Christopher R., Gallagher, Jonathan, Yamada, Kenji, Kopylov, Alexei, Warren, Michael A.

Tabla de Contenidos: “…-problems can be coded as SAT problems and therefore SAT is important both practically and theoretically…”
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Language-guided Hierarchical Fine-grained Image Forgery Detection and Localization por Guo, Xiao, Liu, Xiaohong, Masi, Iacopo, Liu, Xiaoming

Tabla de Contenidos: “…. As a result, the algorithm is encouraged to learn both comprehensive features and the inherent…”
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FlexiGen: Stochastic Dataset Generator for Electric Vehicle Charging Energy Flexibility por Cabral, Bernardo, Fonseca, Tiago, Sousa, Clarisse, Ferreira, Luis Lino

Tabla de Contenidos: “… generation. To reach such advantages, optimization algorithms need data on EV energy flexibility…”
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Verbosity $\neq$ Veracity: Demystify Verbosity Compensation Behavior of Large Language Models por Zhang, Yusen, Das, Sarkar Snigdha Sarathi, Zhang, Rui

Tabla de Contenidos: “… effective cascade algorithm that replaces the verbose responses with the other model-generated responses…”
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Feasibly Constructive Proof of Schwartz-Zippel Lemma and the Complexity of Finding Hitting Sets por Atserias, Albert, Tzameret, Iddo

Tabla de Contenidos: “… of the field. This fundamental fact about multivariate polynomials has found many applications in algorithms…”
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TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding por Pham, Quang P. M., Nguyen, Khoi T. N., Ngo, Lan C., Do, Truong, Song, Dezhen, Hy, Truong-Son

Tabla de Contenidos: “… using an approximate graph-matching algorithm. Our combined architecture TESGNN shown to be effective…”
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Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction por Xu, Xiang, Wang, Hao, Guo, Wei, Zhang, Luankang, Yang, Wanshan, Yu, Runlong, Liu, Yong, Lian, Defu, Chen, Enhong

Tabla de Contenidos: “… prediction. Current long-term user behavior modeling algorithms predominantly follow two cascading stages…”
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2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification por Zhang, Jingwei, Nguyen, Anh Tien, Han, Xi, Trinh, Vincent Quoc-Huy, Qin, Hong, Samaras, Dimitris, Hosseini, Mahdi S.

Tabla de Contenidos: “… prohibitively slow computation due to the lack of efficient parallel algorithms. In this work, we propose 2…”
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Unveiling Concept Attribution in Diffusion Models por Nguyen, Quang H., Phan, Hoang, Doan, Khoa D.

Tabla de Contenidos: “… introduce two fast, inference-time model editing algorithms, CAD-Erase and CAD-Amplify; in particular, CAD…”
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DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection por Chen, Yishuo, Wang, Boran, Guo, Xinyu, Zhu, Wenbin, He, Jiasheng, Liu, Xiaobin, Yuan, Jing

Tabla de Contenidos: “… algorithms by a clear margin. Our code is available at https://github.com/chips96/DEYOLO. …”
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DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services por Lin, Youfang, Fu, Jinji, Wen, Haomin, Wang, Jiyuan, Wei, Zhenjie, Qiang, Yuting, Mao, Xiaowei, Wu, Lixia, Hu, Haoyuan, Liang, Yuxuan, Wan, Huaiyu

Tabla de Contenidos: “…. Traditional AOI segmentation algorithms primarily rely on road networks to partition urban areas. While…”
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Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component Evaluation por Vukadin, Davor, Afrić, Petar, Šilić, Marin, Delač, Goran

Tabla de Contenidos: “…, researchers proposed many algorithms to aid neural network understanding and provide additional information…”
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ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation por Huang, Shiqi, He, Shuting, Wen, Bihan

Tabla de Contenidos: “…Instance segmentation algorithms in remote sensing are typically based on conventional methods…”
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Using matrix-product states for time-series machine learning por Moore, Joshua B., Stackhouse, Hugo P., Fulcher, Ben D., Mahmoodian, Sahand

Tabla de Contenidos: “… an MPS-based algorithm, MPSTime, for learning a joint probability distribution underlying an observed…”
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LABIIUM: AI-Enhanced Zero-configuration Measurement Automation System por Olowe, Emmanuel A., Chitnis, Danial

Tabla de Contenidos: “… by Large Language Models (LLMs) to generate code. LABIIUM's Lab-Automation-Measurement Bridges (LAMBs…”
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TrajLearn: Trajectory Prediction Learning using Deep Generative Models por Nadiri, Amirhossein, Li, Jing, Faraji, Ali, Abuoda, Ghadeer, Papagelis, Manos

Tabla de Contenidos: “… to assess the impact of key model components. Furthermore, we developed a novel algorithm to generate mixed…”
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Improving Autoregressive Visual Generation with Cluster-Oriented Token Prediction por Hu, Teng, Zhang, Jiangning, Yi, Ran, Weng, Jieyu, Wang, Yabiao, Zeng, Xianfang, Xue, Zhucun, Ma, Lizhuang

Tabla de Contenidos: “…-means clustering algorithm to rearrange the visual codebook into clusters, ensuring high similarity…”
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Adaptive Algebraic Reuse of Reordering in Cholesky Factorization with Dynamic Sparsity Pattern por Zarebavani, Behrooz, Kaufman, Danny M., Levin, David I. W., Dehnavi, Maryam Mehri

Tabla de Contenidos: “… decomposition algorithm to break down the dual graph of the input matrix into fine-grained subgraphs…”
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CorrDiff: Adaptive Delay-aware Detector with Temporal Cue Inputs for Real-time Object Detection por Zhang, Xiang, Fu, Chenchen, Cui, Yufei, Yi, Lan, Sun, Yuyang, Wu, Weiwei, Liu, Xue

Tabla de Contenidos: “… detection algorithms in streaming scenarios, factoring in both latency and accuracy). It demonstrates robust…”
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Ladder-residual: parallelism-aware architecture for accelerating large model inference with communication overlapping por Zhang, Muru, Mishra, Mayank, Zhou, Zhongzhu, Brandon, William, Wang, Jue, Kim, Yoon, Ragan-Kelley, Jonathan, Song, Shuaiwen Leon, Athiwaratkun, Ben, Dao, Tri

Tabla de Contenidos: “… distributed algorithms to efficiently scale. Various model parallelism strategies are used in multi-gpu…”
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